Shravanthi Musti
University of Victoria
About Me
Hi! My name is Shravanthi and I recently graduated from the University of Victoria in Electrical and Computer Engineering. I am an aspiring Data Scientist, particularly passionate about data storytelling and information visualization with strong research skills and excellent problem-solving abilities developed through relevant coursework, real-time projects, and co-op experience. Skilled in:
- Data Science (Data Analysis and Visualization)
- Statistics (Descriptive/Inferential)
- Machine Learning (Supervised/Un-supervised)
- Deep Learning (PyTorch/TensorFlow)
Interests
- Data Science
- Data Visualization
- Machine Learning
- Computer Vision
Education
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MEng in Electrical and Computer Engineering, 2022
University of Victoria, Canada
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B.E. in Electronics and Communication, 2019
Chaitanya Bharathi Institute of Technology, India
Skills
Python
SQL
Excel
Tableau
Statistics
Git
Experience
Data Analyst, Co-op
Responsibilities include:
- Predict students’ success based on their e-learning activity:
- Performed data analysis and evaluation of this AI-powered product in production to measure its efficacy and trustworthiness to establish a benchmark for future developments.
- Researched state-of-the-art techniques in Predictive Analytics to propose new features and algorithms to improve the model’s performance.
- Created a dataset using SQL and Python from the customer database to run experiments in isolation.
- Regularly document and present my findings and insights from research and analysis to the leadership team.
- Worked with the Analytics team on student dashboards to measure and monitor learner progress.
- Technologies used: Python, SQL, Excel, Java.
Software Engineer
Responsibilities include:
- Performed various tests on the product (ABM Application) such as Performance, Regression, Memory-leak testing.
- Reviewed and validated functional specifications and test plans outlined by the clients.
- Provided customer technical assistance by debugging and recreating customer issues in the hardware lab.
- Technologies used: HP ALM, JIRA.
Projects
Please click the respective category below to view the projects.
.js-id-Data-Analysis
Data analysis and creative visualization of the distribution of Immigrants by Country/Region and Demographics.
Classification of Hand-written Digits based on HOG Feature Descriptor using Multi-class SVM
Classifies hand-written digits using SVM.
Classifies messages received during a disaster into their respective categories.
Performs forgery detection by verifying signatures to determine whether a signature is genuine or forged.
Human Resource Planning using a Markov Chain
Predict the employee structure of an organization for three consecutive years using a Markov chain predictive model
Implemented the Histogram of Oriented Gradients (HOG) algorithm from scratch in C++ and Python
Detects suspicious activities that occur in automatic banking machine centres using a smart camera
